class_docstr: `SpacyWrapper` has been made to be an interface
  between spaCy and CLTK.
class_docstr_tok: ["`","SpacyWrapper","`","has","been","made","to","be","an","interface","between","spaCy","and","CLTK","."]
docstr: :param language: Language parameter to retrieve an already-loaded model or the default model.
  :return: A saved instance of `SpacyWrapper`.
docstr_tok: [":","param","language",":","Language","parameter","to","retrieve","an","already-loaded","model","or","the","default","model",".",":","return",":","A","saved","instance","of","`","SpacyWrapper","`","."]
code: def get_nlp(cls, language: str):
      """
  
      :param language: Language parameter to retrieve an already-loaded model or the default model.
      :return: A saved instance of `SpacyWrapper`.
      """
      if language in cls.nlps:
          return cls.nlps[language]
      nlp = cls(language)
      cls.nlps[language] = nlp
      return nlp
  
file_path: cltk/src/cltk/dependency/spacy_wrapper.py
imports: import logging
  import subprocess
  from typing import Any, Optional
  import spacy
  from spacy import Language
  from spacy.tokens import Doc
  from cltk.core.exceptions import CLTKException, UnknownLanguageError
  from cltk.utils.utils import query_yes_no
label_desc: Use image node_id 5 for calling the SpacyWrapper obj's underlying member method code with example usage: obj.get_nlp(cls, language) and returns: nlp, cls